Digital modulation signal classification method based on union features

Abstract

The invention particularly relates to a digital modulation signal classification method based on union features, and the method comprises the following steps: (A) obtaining an intermediate frequency real signal after performing ADC sampling for an intercepted signal by a receiving end; (B) preprocessing the intermediate frequency real signal to obtain an intermediate frequency complex signal; (C)obtaining an instantaneous feature quantity, a higher-order statistics and a spectrum feature of the intermediate frequency complex signal, and identifying the signal according to the features, if theidentified signal is a 2ASK signal, a BPSK signal, a QPSK signal, a OQPSK signal and a 8PSK signal, ending the classification; if the identified signal is a MFSK or MQAM modulation main class, executing next step; (D) performing line class internal identification for the MFSK or QAM modulation main class, identifying out a modulation order M in the current modulation main class and then ending the classification. The method combines various features to perform modulation identification, classifies the signals of which features are approximate through multi-level spectrum features, and therebyhas high identification rate and wide range of application.

Description

technical field [0001] The invention relates to the technical field of digital signal processing, in particular to a method for classifying digital modulation signals based on joint features. Background technique [0002] With the advancement of communication technology and the development of various modulation methods, the communication environment is becoming increasingly complex. Today's communication signals often use different modulation methods and modulation parameters for modulation and communication in a wide frequency band. The current modulation methods commonly used in communication technology include: 2ASK, MPSK, MFSK, MQAM, where MPSK includes BPSK, QPSK, 8PSK And OQPSK, MFSK includes 2FSK, 4FSK, 8FSK, MSK (GMSK), MQAM includes 16QAM, 32QAM, 64QAM, 128QAM, 256QAM. How to identify these signals and distinguish their modulation methods is very important for both military and civilian communications. The identification of signal modulation methods is one of the k...

AI Technical Summary

Problems solved by technology

At present, most people choose different characteristic parameters and propose their own set of characteristic parameter groups for various signal sets to be identified for comprehensive judgment. The applicable target range of the algorithm (such as the selection of signal sets to be identified, the parameters of Scope of application) determines the combination of characteristic parameters of the algorithm. Most of the existing modulation recognition technologies only target a small part of the 14 commonly used modulation methods. For example, the invention patent "Based on Parallel Judgmental Analog-Digital Mixed Modulation Mode Identification Device and Digital Modulation Mode Identification Device" (Application No.: 201010172374.3), which can only realize the identification of 2ASK, 4ASK, BPSK, QPSK, 2FSK, 4FSK, and 16QAM modulation modes. Small

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